Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization

This paper presents the use of an artificial intelligence (AI) tool based on ant colony behavior to design an operational amplifier circuit. The ant colony optimization (ACO) is implemented in a hybrid evolutionary sizing method to automate analog circuit design. This new meta-heuristic app...

Full description

Bibliographic Details
Main Author: Samir Barra
Format: Article
Language:English
Published: University of Banja Luka 2023-12-01
Series:Electronics
Online Access:https://els-journal.net/wp/?page_id=721
_version_ 1797305353580314624
author Samir Barra
author_facet Samir Barra
author_sort Samir Barra
collection DOAJ
description This paper presents the use of an artificial intelligence (AI) tool based on ant colony behavior to design an operational amplifier circuit. The ant colony optimization (ACO) is implemented in a hybrid evolutionary sizing method to automate analog circuit design. This new meta-heuristic approach that combines the artificial intelligence of an ant colony and the 3D matrix method is developed to determine the optimal dimensions and the main influencing performances of fundamental analog circuits and, including operational amplifiers (op-amps). The proposed methodology uses ACO and Cadence Spectre as dimensioning techniques and implementation platform, respectively. The Three Dimensions (3D) ACO algorithm is successfully used for analog circuit sizing, and the obtained results demonstrate its effectiveness in sizing basic and more complicated analog circuits.
first_indexed 2024-03-08T00:25:35Z
format Article
id doaj.art-37634a0710504028a3a4fca9e13d07b3
institution Directory Open Access Journal
issn 1450-5843
2831-0128
language English
last_indexed 2024-03-08T00:25:35Z
publishDate 2023-12-01
publisher University of Banja Luka
record_format Article
series Electronics
spelling doaj.art-37634a0710504028a3a4fca9e13d07b32024-02-15T18:09:44ZengUniversity of Banja LukaElectronics1450-58432831-01282023-12-01272354210.53314/ELS2327035BIntelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony OptimizationSamir Barra This paper presents the use of an artificial intelligence (AI) tool based on ant colony behavior to design an operational amplifier circuit. The ant colony optimization (ACO) is implemented in a hybrid evolutionary sizing method to automate analog circuit design. This new meta-heuristic approach that combines the artificial intelligence of an ant colony and the 3D matrix method is developed to determine the optimal dimensions and the main influencing performances of fundamental analog circuits and, including operational amplifiers (op-amps). The proposed methodology uses ACO and Cadence Spectre as dimensioning techniques and implementation platform, respectively. The Three Dimensions (3D) ACO algorithm is successfully used for analog circuit sizing, and the obtained results demonstrate its effectiveness in sizing basic and more complicated analog circuits.https://els-journal.net/wp/?page_id=721
spellingShingle Samir Barra
Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization
Electronics
title Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization
title_full Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization
title_fullStr Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization
title_full_unstemmed Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization
title_short Intelligent Optimization of CMOS Operational Amplifier Using 3D Ant Colony Optimization
title_sort intelligent optimization of cmos operational amplifier using 3d ant colony optimization
url https://els-journal.net/wp/?page_id=721
work_keys_str_mv AT samirbarra intelligentoptimizationofcmosoperationalamplifierusing3dantcolonyoptimization